Associate Director Data Science, Translational Medicine – AstraZeneca – München

  • Full Time
  • München

AstraZeneca

Do you have expertise in, and passion for Bioinformatics and spatial biology? Are you ready to apply your data science expertise within the Computational Pathology team to impact AstraZeneca oncology drug projects throughout the research and development pipeline? Would you like to play a pivotal leading role in the development of cutting edge capabilities in spatial biology in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be for you!


ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society.

SITE DESCRIPTION

Welcome to Computational Pathology Munich, one of over 400 sites here at AstraZeneca, providing a collaborative environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you: After-work events, Lunch & Learns, Bright and spacious environment, Sustainable office working environment, Networking events, family and childcare support and of course the Alps around the corner for hiking, biking and skiing.

BUSINESS AREA

Be part of fulfilling our ambition to be world leaders in Oncology. We are already the fastest growing team within AstraZeneca and across the industry, and there are countless new indications and targets in our game-changing pipeline. We deliver this value through launch excellence, commercial effectiveness and maximising the lifecycle. By leveraging our commercialised portfolio we are confident we can change the practice of medicine and redefine cancer treatment. We’re brave disruptors – entrepreneurial, courageous and pioneering in our approach. Here you have the opportunity to step up, take personal accountability and lead changes in our ever-evolving environment. With pace and drive, comes trust that we will get it done. Embrace the freedom to create and expand your horizons. Always backed and supported by pioneering leaders, this is the place to build a world-class career that’s meaningful and rewarding. Here we’re on a journey to becoming digitally-enabled, to discover new ways of offering better solutions to our patients. Join the team with a vision to use data as a tool, to build a better, deeper, more personal understanding of the people we’re helping. To ultimately deliver better outcomes for them – through dynamic omnichannel content, personal relationships and experience.


What you’ll do

The Computational Pathology team is growing to meet the challenges of pre-clinical and clinical big data generation initiatives in AZ Oncology with focus on medical imaging. There exists an opportunity for a talented and motivated data scientist with strong expertise in biostatistics and/or spatial biology to join the team as an Associate Principal Scientist focusing on translating cutting edge image analysis features developed by our group into meaningful drug project impact. To do this you will:

  • Work as part of multi-disciplinary teams spanning digital pathology, bioinformatics and translational medicine to understand their scientific and technical challenges and proactively impact these.

  • Discover, design, and implement innovative ways to identify and visualise meaningful patterns in complex spatial data.

  • Extract knowledge from such image-based data in order to support drug development and biomarker discovery in Early Oncology through a range of data preparation, modelling, analysis and visualization techniques.

  • Use your familiarity with cancer biology/drug discovery to convert these into actionable insights driving discovery and development of the next generation of cancer medicines.

  • Apply your expertise in machine learning, artificial intelligence, statistical modelling and/or applied mathematics to develop and operate innovative solutions.

  • Assume technical leadership role in projects or segments of large scale programs, while applying specialist knowledge in image data science.

  • Contribute to image data science algorithm libraries and enabling tools and components.

  • Effectively engage with the technology development and AI science community within AstraZeneca, whilst contributing to scientific conferences and/or journal publications.

Essential for the role

  • Relevant PhD (or equivalent graduate degree) plus proven applied experience in one of the following fields: applied biostatistics, computational biology, bioinformatics, data science or related.

  • Expertise in one of the following areas of research: i) biomarker discovery for patient stratification, treatment response prediction and time-to-event modelling, or ii) spatial biology and the use of spatial statistics.

  • R and/or Python programming and data visualisation expertise.

  • Data management including curation, data engineering, FAIR and reproducible research practices.

  • Skilled in effective communication of complex data to a non-expert.

  • Enthusiasm and persistence in the application of analytical methods to complex biological problems.

  • Capability of successfully managing multiple simultaneous projects.

  • Working effectively within cross-disciplinary science teams, including with functional leaders.

  • Experience contributing to the research community through publications, conferences and open source code projects.


Desirable
for the role

  • A deep understanding of the molecular mechanisms driving cancer or immunological disorders.

  • Familiarity with imaging modalities (WSI, CT, MRI), especially histopathology images (H&E, IHC, mIF):

  • Experience with oncology related imaging datasets (e.g. TCGA).

  • Experience contributing to medical imaging community (MICCAI, MIDL, CVPR, etc).

  • Familiarity with the Unix environment, high performance computing environments and processing of data on GPUs.

  • Experience in using imaging data for building statistical models: Understanding of machine learning and deep learning methods applicable for building models based on images, for example CNN, GNN.

Competitive salary package and benefits

Close Date: 12/05/2022


Why AstraZeneca?

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.


So, what’s next
?

  • Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

  • Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

  • If you’re curious to know more then please reach out to Louise Bennett


Where can I find out more?

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